Advanced computerized adaptive testing stopping rules can improve measurement efficiency for patient-reported outcome measures, thereby reducing patient burden.
We conclude that the current approach allows us to determine an optimal SER threshold that improves measurement efficiency, especially when floor/ceiling effects are present in the target population. The threshold values will vary depending on the θ distribution of the target population and the IRT model parameters.
Luijten et al. (Thu,) studied this question.